Neural decoding of emotional prosody in voice-sensitive auditory cortex predicts social communication abilities in children
Publication year
2023Number of pages
20 p.
Source
Cerebral Cortex, 33, 3, (2023), pp. 709-728ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC CO
PI Group Intention & Action
Journal title
Cerebral Cortex
Volume
vol. 33
Issue
iss. 3
Languages used
English (eng)
Page start
p. 709
Page end
p. 728
Subject
111 000 Intention & Action; Action, intention, and motor controlAbstract
During social interactions, speakers signal information about their emotional state through their voice, which is known as emotional prosody. Little is known regarding the precise brain systems underlying emotional prosody decoding in children and whether accurate neural decoding of these vocal cues is linked to social skills. Here, we address critical gaps in the developmental literature by investigating neural representations of prosody and their links to behavior in children. Multivariate pattern analysis revealed that representations in the bilateral middle and posterior superior temporal sulcus (STS) divisions of voice-sensitive auditory cortex decode emotional prosody information in children. Crucially, emotional prosody decoding in middle STS was correlated with standardized measures of social communication abilities; more accurate decoding of prosody stimuli in the STS was predictive of greater social communication abilities in children. Moreover, social communication abilities were specifically related to decoding sadness, highlighting the importance of tuning in to negative emotional vocal cues for strengthening social responsiveness and functioning. Findings bridge an important theoretical gap by showing that the ability of the voice-sensitive cortex to detect emotional cues in speech is predictive of a child’s social skills, including the ability to relate and interact with others.
This item appears in the following Collection(s)
- Academic publications [243110]
- Donders Centre for Cognitive Neuroimaging [3971]
- Electronic publications [129838]
- Faculty of Social Sciences [29977]
- Open Access publications [104383]
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